A detailed explanation of the algorithm together with useful examples on how to build a model in Python

Just so you know what you are getting into, this is a **long story** that contains a visual and a mathematical explanation of logistic regression with 4 different Python examples. Please take a look at the **list of topics below** and feel free to jump to the sections that you are most interested in.

Machine Learning is making huge leaps forward, with an increasing number of algorithms enabling us to solve complex real-world problems.

This story is part of a deep dive series explaining the mechanics of Machine Learning algorithms. In addition to giving you an understanding of how ML algorithms work, it also provides you with Python examples to build your own ML models.

ðŸ”µ Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

Applied Data Analysis in Python Machine learning and Data science, we will investigate the use of scikit-learn for machine learning to discover things about whatever data may come across your desk.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.